{"year":"2026","date_created":"2026-09-30T10:14:15Z","type":"conference_editor_article","publication":"eCAADe proceedings","date_updated":"2026-10-01T14:28:23Z","citation":{"havard":"M.K. Ashmawy, B. Akay, A. Balderrama, Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis, eCAADe, 2026.","short":"M.K. Ashmawy, B. Akay, A. Balderrama, Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis, eCAADe, 2026.","chicago":"Ashmawy, Mohamed Khaled, Buse Akay, and Alvaro Balderrama. <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>. <i>ECAADe Proceedings</i>. Vol. 1. eCAADe, 2026. <a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">https://doi.org/10.52842/conf.ecaade.2026.1.619</a>.","ama":"Ashmawy MK, Akay B, Balderrama A. <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>. Vol 1. eCAADe; 2026. doi:<a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">10.52842/conf.ecaade.2026.1.619</a>","mla":"Ashmawy, Mohamed Khaled, et al. “Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis.” <i>ECAADe Proceedings</i>, vol. 1, eCAADe, 2026, <a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">https://doi.org/10.52842/conf.ecaade.2026.1.619</a>.","chicago-de":"Ashmawy, Mohamed Khaled, Buse Akay und Alvaro Balderrama. 2026. <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>. <i>eCAADe proceedings</i>. Bd. 1. eCAADe. doi:<a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">10.52842/conf.ecaade.2026.1.619</a>, .","apa":"Ashmawy, M. K., Akay, B., &#38; Balderrama, A. (2026). Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis. In <i>eCAADe proceedings</i> (Vol. 1). eCAADe. <a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">https://doi.org/10.52842/conf.ecaade.2026.1.619</a>","ieee":"M. K. Ashmawy, B. Akay, and A. Balderrama, <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>, vol. 1. eCAADe, 2026. doi: <a href=\"https://doi.org/10.52842/conf.ecaade.2026.1.619\">10.52842/conf.ecaade.2026.1.619</a>.","van":"Ashmawy MK, Akay B, Balderrama A. Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis. Vol. 1, eCAADe proceedings. eCAADe; 2026.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ashmawy, Mohamed Khaled</span> ; <span style=\"font-variant:small-caps;\">Akay, Buse</span> ; <span style=\"font-variant:small-caps;\">Balderrama, Alvaro</span>: <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>. Bd. 1 : eCAADe, 2026","ufg":"<b>Ashmawy, Mohamed Khaled/Akay, Buse/Balderrama, Alvaro</b>: Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis, Bd. 1, o. O. 2026.","bjps":"<b>Ashmawy MK, Akay B and Balderrama A</b> (2026) <i>Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis</i>. eCAADe."},"publication_status":"published","keyword":["Digital Twins","Virtual Reality (VR","Artificial Intelligence (AI)","Image-to-3D","Generative Design."],"conference":{"location":"Lübeck","name":"44. eCAADe-Konferenz","end_date":"2026-09-11","start_date":"2026-09-07"},"_id":"14070","status":"public","publisher":"eCAADe","volume":1,"title":"Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis","doi":"10.52842/conf.ecaade.2026.1.619","language":[{"iso":"eng"}],"abstract":[{"text":"Deploying digital twins across the broader building stock is constrained by a key bottleneck: high-quality 3D content from LiDAR or photogrammetry remains labor-intensive and difficult to scale. We introduce Generative Twins (GT), a workflow that shifts digital twin creation from explicit geometric reconstruction toward probabilistic 3D synthesis. The pipeline takes a\r\nsingle street-level façade photograph, corrects perspective distortion and removes occlusions, uses an instruction-conditioned multimodal image model to synthesise an isometric view of the building, and passes that view to an image-to-3D reconstruction model that leverages learned shape priors to produce a textured mesh without manual modelling. Three image to-3D platforms (Hitem3D, Hyper3D and Hunyuan3D 3.1) are compared on identical isometric inputs and assessed on architectural boundary clarity. We demonstrate GT through two applied cases: (i) reconstruction of ordinary residential streets in Detmold as stimuli for a virtual-reality study of multi sensory urban perception, and (ii) Green Editor, a design-exploration tool in which façade greenery is added or removed at the image layer before mesh generation.\r\nTogether these cases position Generative Twins as a scalable pathway for the digitization of ordinary building stock, with emphasis on controllability, editability, and iterative design workflows.","lang":"eng"}],"department":[{"_id":"DEP1634"}],"user_id":"83781","intvolume":"         1","publication_identifier":{"issn":["2684-1843"]},"author":[{"id":"81286","full_name":"Ashmawy, Mohamed Khaled","last_name":"Ashmawy","first_name":"Mohamed Khaled"},{"last_name":"Akay","first_name":"Buse","id":"88405","full_name":"Akay, Buse"},{"orcid":"0000-0002-4118-2838","last_name":"Balderrama","first_name":"Alvaro","full_name":"Balderrama, Alvaro","id":"74171"}]}